Software Engineer, General - London

Posted Yesterday
Be an Early Applicant
London, Greater London, England, GBR
In-Office
48K-54K Annually
Junior
Artificial Intelligence
InstaLILY builds AI teammates for the physical goods economy.
The Role
Develop and improve InstaLILY’s core AI platform, collaborating with product, design, UI/UX, and business teams to deliver reliable customer-focused features. The role includes writing software, testing, supporting CI/CD practices, maintaining technical quality, and staying current with AI and software engineering technologies. Candidates should have 0–2 years of software engineering experience, programming experience in Python and JavaScript, and familiarity with cloud computing or AWS, Azure, or GCP.
Summary Generated by Built In
About InstaLILY

InstaLILY is an AI products and infrastructure company that puts execution at the frontier of enterprise AI. That work begins with Lily™, the world's first AI Forward Deployed Engineer, which learns how a business works, builds the software it needs, and goes live in days. It does not leave when the work ships; it stays and keeps the software working as the business changes. Lily runs wherever the work happens, in the cloud, on-premise, or at the edge, through InstaLILY's Small Data Center, built with NVIDIA technology. Founded in 2023 by Amit Shah and Sumantro Das, InstaLILY has raised nearly $100 million from Energize Capital, Insight Partners, and Home Depot Ventures. Headquartered in New York, with offices in San Francisco, London, and Toronto, InstaLILY serves leading companies across construction, industrial distribution, logistics, healthcare, and other operationally intensive industries. Learn more at https://instalily.ai/.

The Traction

Revenue grew 5x over the past year, and Lily has driven over $200M in new annual sales for a single customer. We serve some of the largest operators in our industries, including SRS Distribution (part of The Home Depot family), United Rentals, and Henry Schein, and we work closely with the Google DeepMind and NVIDIA ecosystems.

How We Work

We work in small teams with real ownership: clear problems, direct access to the customers whose work you're changing, and room to ship. Your code runs in live production systems inside billion-dollar operations, so you see your impact directly. People who do well here want that proximity to the work. We're growing fast, and the people who join now shape what this company becomes. Everything runs on three principles: Customers, Culture, and Code.

Responsibilities
  • Continue to develop the core AI platform and drive technical excellence throughout the organization.
  • Work closely with cross-functional teams (product, UI/UX, business development) to design and implement new features and capabilities.
  • Rapidly learn into the expected quality and reliability of the platform through comprehensive testing and continuous integration/continuous delivery (CI/CD) practices.
  • Build a rapport with the Lead Software Engineer and Head of Product while fostering a culture of continuous learning and improvement.
  • Collaborate with the product and design teams to deliver high-quality products that meet customer needs.
  • Stay up-to-date with the latest AI and software engineering trends and technologies.
Requirements
  • Bachelor's degree in computer science, engineering, Mathematics, Physics or a related field.
  • First Class degree preferred.
  • 0 to 2 years of experience as a software engineer (prior software engineering internships and experience/projects a significant plus).
  • Passion for understanding AI and machine learning technologies.
  • Experience with Python, JavaScript, and other programming languages.
  • Understanding of cloud computing technologies OR experience with AWS, Azure, or GCP.
  • Excellent problem-solving and analytical skills.
  • Track record of delivering successful products / working in a collaborative, fast-paced environment is a plus.
What You'll Get
  • Real traction: The product works, customers are live, and we've already driven over $200M in incremental revenue for customers — this isn't a bet on an unproven thesis.
  • Deep partnerships: Backed by Insight Partners with deep ecosystem partnerships across Google, NVIDIA, and Microsoft. InstaLILY's architecture has been featured in Google DeepMind's case study showcase.
  • Customer impact: You'll drive measurable operational change inside the customers you own.
  • Stage: Early enough to shape how InstaLILY runs customer relationships and expansion at scale.
  • Culture: Offices in New York, San Francisco, and London — sharp, low-ego team moving fast.
  • Growth: The learning curve is steep
Compensation and Benefits
  • Salary Range: £48,000–£54,000 per year, commensurate with experience
  • Equity: Generous stock options awards, and refreshers for top performers
  • Benefits: Supplemental benefits, pension contribution, in-office Lunch reimbursement, Wellbeing Stipend, Generous Parental leave, PTO and UK National Holidays, and more!
Quality Over Quantity

To ensure a focused, high-quality hiring experience, we kindly ask candidates to limit their applications to 3 open requisitions at any given time. Applying strategically to roles that best align with your skills and career goals gives you the highest chance of standing out. Have you interviewed with us in the past 12 months? We encourage you to reach out directly to your previous interviewer rather than submitting a new application.

InstaLILY is committed to providing an inclusive and barrier-free recruitment process. If you require an accommodation, please let us know, and we will work with you to meet your needs.

Skills Required

  • Bachelor’s degree in computer science, engineering, mathematics, physics, or a related field
  • 0 to 2 years of experience as a software engineer
  • Passion for understanding AI and machine learning technologies
  • Experience with Python, JavaScript, and other programming languages
  • Understanding of cloud computing technologies or experience with AWS, Azure, or GCP
  • Excellent problem-solving and analytical skills
  • First Class degree
  • Prior software engineering internships and significant project experience
  • Track record of delivering successful products or working in a collaborative, fast-paced environment
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, NY
Year Founded: 2023

What We Do

InstaLILY builds AI teammates for the physical-goods economy: industrial distribution, healthcare, supply chain, manufacturing, and automotive. Our model is simple: one company brain, many teammates. We build company-specific AI-powered brains called InstaBrains. Built on small, specialized language models (SLMs), they codify the customer's knowledge and decisions, like their parts, jobs, and pricing. On top of it, InstaWorkers act as AI teammates inside the tools customers already use, completing the sales, service, and operations work that drives the business.

Why Work With Us

Backed by Insight Partners ($25M Series A) and supported by the Google, NVIDIA, and Microsoft ecosystems, we are one of the fastest-growing AI startups in the country. Our team has already driven over $200M in incremental revenue for customers to date. InstaLILY's architecture has been featured in Google DeepMind's case study showcase.

Similar Jobs

Zscaler Logo Zscaler

Senior Employee Relations Manager

Cloud • Information Technology • Security • Software • Cybersecurity
Easy Apply
Hybrid
City of London, City and County of the City of London, England, GBR
8697 Employees

bet365 Logo bet365

Site Reliability Engineer

Digital Media • Gaming • Software • Esports • Automation
Hybrid
Stoke-on-Trent, Staffordshire, England, GBR
10000 Employees

bet365 Logo bet365

Site Reliability Engineer

Digital Media • Gaming • Software • Esports • Automation
Hybrid
Manchester, Greater Manchester, England, GBR
10000 Employees

Airwallex Logo Airwallex

Account Executive

Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
In-Office
London, England, GBR
2300 Employees

Similar Companies Hiring

Kepler  Thumbnail
Artificial Intelligence • Fintech • Software
New York, New York
9 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
30 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account